Overview

Brought to you by YData

Dataset statistics

	Training Data	Original Data
Number of variables	12	12
Number of observations	593994	20000
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	0
Duplicate rows (%)	0.0%	0.0%
Total size in memory	54.4 MiB	1.8 MiB
Average record size in memory	96.0 B	96.0 B

Variable types

	Training Data	Original Data
Numeric	5	5
Categorical	7	7

Alerts

Training Data	Original Data
`credit_score` is highly overall correlated with `grade_subgrade` and 1 other fields	`credit_score` is highly overall correlated with `grade_subgrade` and 1 other fields	High correlation
`employment_status` is highly overall correlated with `loan_paid_back`	`employment_status` is highly overall correlated with `loan_paid_back`	High correlation
`grade_subgrade` is highly overall correlated with `credit_score`	`grade_subgrade` is highly overall correlated with `credit_score`	High correlation
`interest_rate` is highly overall correlated with `credit_score`	`interest_rate` is highly overall correlated with `credit_score`	High correlation
`loan_paid_back` is highly overall correlated with `employment_status`	`loan_paid_back` is highly overall correlated with `employment_status`	High correlation

Reproduction

	Training Data	Original Data
Analysis started	2025-11-14 17:00:20.786996	2025-11-14 17:00:51.510318
Analysis finished	2025-11-14 17:00:38.380925	2025-11-14 17:00:56.083976
Duration	17.59 seconds	4.57 seconds
Software version	ydata-profiling vv4.17.0	ydata-profiling vv4.17.0
Download configuration	config.json	config.json

annual_income
Real number (ℝ)

	Training Data	Original Data
Distinct	119728	19947
Distinct (%)	20.2%	99.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	48212.203	43549.638

	Training Data	Original Data
Minimum	6002.43	6000
Maximum	393381.74	400000
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Quantile statistics

	Training Data	Original Data
Minimum	6002.43	6000
5-th percentile	15450.11	13377.715
Q1	27934.4	24260.753
median	46557.68	36585.26
Q3	60981.32	54677.917
95-th percentile	93534.68	97663.691
Maximum	393381.74	400000
Range	387379.31	394000
Interquartile range (IQR)	33046.92	30417.165

Descriptive statistics

	Training Data	Original Data
Standard deviation	26711.942	28668.58
Coefficient of variation (CV)	0.5540494	0.65829663
Kurtosis	7.0914126	10.952957
Mean	48212.203	43549.638
Median Absolute Deviation (MAD)	17068.9	14200.04
Skewness	1.7195087	2.3307532
Sum	2.8637759 × 10¹⁰	8.7099276 × 10⁸
Variance	7.1352785 × 10⁸	8.2188746 × 10⁸
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51351.71	238	< 0.1%
25499.88	227	< 0.1%
24113.12	219	< 0.1%
56547.75	209	< 0.1%
26386.33	187	< 0.1%
28991.07	185	< 0.1%
16077.08	170	< 0.1%
46949.29	160	< 0.1%
53981.9	152	< 0.1%
52628.69	146	< 0.1%
Other values (119718)	592101	99.7%

Value	Count	Frequency (%)
6000	26	0.1%
28316.41	2	< 0.1%
26386.33	2	< 0.1%
25860.67	2	< 0.1%
18205.78	2	< 0.1%
40010.06	2	< 0.1%
16664.34	2	< 0.1%
17306.58	2	< 0.1%
56547.75	2	< 0.1%
36822.03	2	< 0.1%
Other values (19937)	19956	99.8%

Value	Count	Frequency (%)
6002.43	1	< 0.1%
6008.56	1	< 0.1%
6026.31	3	< 0.1%
6026.47	1	< 0.1%
6026.71	1	< 0.1%
6064.78	1	< 0.1%
6071.69	1	< 0.1%
6073.15	1	< 0.1%
6074.92	1	< 0.1%
6093.55	1	< 0.1%

Value	Count	Frequency (%)
6000	26	0.1%
6002.43	1	< 0.1%
6008.56	1	< 0.1%
6018.9	1	< 0.1%
6026.31	1	< 0.1%
6100.32	1	< 0.1%
6105.99	1	< 0.1%
6109.87	1	< 0.1%
6151.16	1	< 0.1%
6166.42	1	< 0.1%

Value	Count	Frequency (%)
6000	26	< 0.1%
6002.43	1	< 0.1%
6008.56	1	< 0.1%
6018.9	1	< 0.1%
6026.31	1	< 0.1%
6100.32	1	< 0.1%
6105.99	1	< 0.1%
6109.87	1	< 0.1%
6151.16	1	< 0.1%
6166.42	1	< 0.1%

Value	Count	Frequency (%)
6002.43	1	< 0.1%
6008.56	1	< 0.1%
6026.31	3	< 0.1%
6026.47	1	< 0.1%
6026.71	1	< 0.1%
6064.78	1	< 0.1%
6071.69	1	< 0.1%
6073.15	1	< 0.1%
6074.92	1	< 0.1%
6093.55	1	< 0.1%

debt_to_income_ratio
Real number (ℝ)

	Training Data	Original Data
Distinct	526	555
Distinct (%)	0.1%	2.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	0.12069589	0.1770193

	Training Data	Original Data
Minimum	0.011	0.01
Maximum	0.627	0.667
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Quantile statistics

	Training Data	Original Data
Minimum	0.011	0.01
5-th percentile	0.046	0.037
Q1	0.072	0.096
median	0.096	0.16
Q3	0.156	0.241
95-th percentile	0.259	0.376
Maximum	0.627	0.667
Range	0.616	0.657
Interquartile range (IQR)	0.084	0.145

Descriptive statistics

	Training Data	Original Data
Standard deviation	0.068573259	0.10505934
Coefficient of variation (CV)	0.56814907	0.59349087
Kurtosis	2.33523	0.36506797
Mean	0.12069589	0.1770193
Median Absolute Deviation (MAD)	0.032	0.07
Skewness	1.4066799	0.78773924
Sum	71692.635	3540.386
Variance	0.0047022918	0.011037464
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.09	11440	1.9%
0.093	11160	1.9%
0.097	9508	1.6%
0.079	9099	1.5%
0.094	8976	1.5%
0.098	8647	1.5%
0.071	8192	1.4%
0.096	7715	1.3%
0.063	7579	1.3%
0.067	7373	1.2%
Other values (516)	504305	84.9%

Value	Count	Frequency (%)
0.093	101	0.5%
0.09	96	0.5%
0.116	92	0.5%
0.097	91	0.5%
0.11	91	0.5%
0.079	90	0.4%
0.13	90	0.4%
0.094	89	0.4%
0.063	89	0.4%
0.12	88	0.4%
Other values (545)	19083	95.4%

Value	Count	Frequency (%)
0.011	169	< 0.1%
0.012	55	< 0.1%
0.013	127	< 0.1%
0.014	243	< 0.1%
0.015	138	< 0.1%
0.016	80	< 0.1%
0.017	205	< 0.1%
0.018	186	< 0.1%
0.019	61	< 0.1%
0.02	152	< 0.1%

Value	Count	Frequency (%)
0.01	84	0.4%
0.011	26	0.1%
0.012	15	0.1%
0.013	21	0.1%
0.014	29	0.1%
0.015	26	0.1%
0.016	24	0.1%
0.017	29	0.1%
0.018	26	0.1%
0.019	19	0.1%

Value	Count	Frequency (%)
0.01	84	< 0.1%
0.011	26	< 0.1%
0.012	15	< 0.1%
0.013	21	< 0.1%
0.014	29	< 0.1%
0.015	26	< 0.1%
0.016	24	< 0.1%
0.017	29	< 0.1%
0.018	26	< 0.1%
0.019	19	< 0.1%

Value	Count	Frequency (%)
0.011	169	0.8%
0.012	55	0.3%
0.013	127	0.6%
0.014	243	1.2%
0.015	138	0.7%
0.016	80	0.4%
0.017	205	1.0%
0.018	186	0.9%
0.019	61	0.3%
0.02	152	0.8%

credit_score
Real number (ℝ)

	Training Data	Original Data
Distinct	399	399
Distinct (%)	0.1%	2.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	680.91601	679.25695

	Training Data	Original Data
Minimum	395	373
Maximum	849	850
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Quantile statistics

	Training Data	Original Data
Minimum	395	373
5-th percentile	582	565
Q1	646	632
median	682	680
Q3	719	727
95-th percentile	767	794
Maximum	849	850
Range	454	477
Interquartile range (IQR)	73	95

Descriptive statistics

	Training Data	Original Data
Standard deviation	55.424956	69.63858
Coefficient of variation (CV)	0.08139764	0.1025217
Kurtosis	0.09596164	-0.13134364
Mean	680.91601	679.25695
Median Absolute Deviation (MAD)	36	47
Skewness	-0.16699288	-0.070714162
Sum	4.0446002 × 10⁸	13585139
Variance	3071.9257	4849.5318
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
678	6526	1.1%
661	5801	1.0%
674	5793	1.0%
708	5661	1.0%
681	5635	0.9%
672	5622	0.9%
669	5618	0.9%
685	5557	0.9%
713	5544	0.9%
676	5508	0.9%
Other values (389)	536729	90.4%

Value	Count	Frequency (%)
850	141	0.7%
678	135	0.7%
669	129	0.6%
683	127	0.6%
661	127	0.6%
708	127	0.6%
685	126	0.6%
672	123	0.6%
688	123	0.6%
703	123	0.6%
Other values (389)	18719	93.6%

Value	Count	Frequency (%)
395	2	< 0.1%
431	1	< 0.1%
435	2	< 0.1%
437	3	< 0.1%
439	1	< 0.1%
440	1	< 0.1%
441	1	< 0.1%
445	4	< 0.1%
446	2	< 0.1%
447	2	< 0.1%

Value	Count	Frequency (%)
373	1	< 0.1%
395	1	< 0.1%
435	1	< 0.1%
439	1	< 0.1%
440	1	< 0.1%
441	1	< 0.1%
443	1	< 0.1%
445	3	< 0.1%
447	1	< 0.1%
448	2	< 0.1%

Value	Count	Frequency (%)
373	1	< 0.1%
395	1	< 0.1%
435	1	< 0.1%
439	1	< 0.1%
440	1	< 0.1%
441	1	< 0.1%
443	1	< 0.1%
445	3	< 0.1%
447	1	< 0.1%
448	2	< 0.1%

Value	Count	Frequency (%)
395	2	< 0.1%
431	1	< 0.1%
435	2	< 0.1%
437	3	< 0.1%
439	1	< 0.1%
440	1	< 0.1%
441	1	< 0.1%
445	4	< 0.1%
446	2	< 0.1%
447	2	< 0.1%

loan_amount
Real number (ℝ)

	Training Data	Original Data
Distinct	111570	18819
Distinct (%)	18.8%	94.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	15020.298	15129.301

	Training Data	Original Data
Minimum	500.09	500
Maximum	48959.95	49039.69
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Quantile statistics

	Training Data	Original Data
Minimum	500.09	500
5-th percentile	3139.37	500
Q1	10279.62	8852.695
median	15000.22	14946.17
Q3	18858.58	20998.868
95-th percentile	27139.83	29724.311
Maximum	48959.95	49039.69
Range	48459.86	48539.69
Interquartile range (IQR)	8578.96	12146.173

Descriptive statistics

	Training Data	Original Data
Standard deviation	6926.5306	8605.4055
Coefficient of variation (CV)	0.46114469	0.56879069
Kurtosis	-0.15014223	-0.32712232
Mean	15020.298	15129.301
Median Absolute Deviation (MAD)	4386.47	6070.715
Skewness	0.20735982	0.25309257
Sum	8.9219667 × 10⁹	3.0258602 × 10⁸
Variance	47976826	74053004
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12892.25	412	0.1%
15212.88	338	0.1%
16004.97	282	< 0.1%
1838.88	278	< 0.1%
17051.01	255	< 0.1%
15011.15	250	< 0.1%
18078.57	241	< 0.1%
12551.14	241	< 0.1%
18054.98	237	< 0.1%
8146.24	232	< 0.1%
Other values (111560)	591228	99.5%

Value	Count	Frequency (%)
500	1120	5.6%
11930.42	2	< 0.1%
15222.83	2	< 0.1%
8354.29	2	< 0.1%
10439.05	2	< 0.1%
14988.46	2	< 0.1%
15212.88	2	< 0.1%
5844.81	2	< 0.1%
16181.65	2	< 0.1%
19010.18	2	< 0.1%
Other values (18809)	18862	94.3%

Value	Count	Frequency (%)
500.09	1	< 0.1%
500.37	1	< 0.1%
500.91	1	< 0.1%
502.91	1	< 0.1%
507.41	1	< 0.1%
507.42	1	< 0.1%
507.46	3	< 0.1%
507.86	1	< 0.1%
508.34	1	< 0.1%
508.35	1	< 0.1%

Value	Count	Frequency (%)
500	1120	5.6%
502.91	1	< 0.1%
507.46	1	< 0.1%
512.53	1	< 0.1%
514.5	1	< 0.1%
515.52	1	< 0.1%
517.14	1	< 0.1%
518.18	1	< 0.1%
524.41	1	< 0.1%
525.03	1	< 0.1%

Value	Count	Frequency (%)
500	1120	0.2%
502.91	1	< 0.1%
507.46	1	< 0.1%
512.53	1	< 0.1%
514.5	1	< 0.1%
515.52	1	< 0.1%
517.14	1	< 0.1%
518.18	1	< 0.1%
524.41	1	< 0.1%
525.03	1	< 0.1%

Value	Count	Frequency (%)
500.09	1	< 0.1%
500.37	1	< 0.1%
500.91	1	< 0.1%
502.91	1	< 0.1%
507.41	1	< 0.1%
507.42	1	< 0.1%
507.46	3	< 0.1%
507.86	1	< 0.1%
508.34	1	< 0.1%
508.35	1	< 0.1%

interest_rate
Real number (ℝ)

	Training Data	Original Data
Distinct	1454	1365
Distinct (%)	0.2%	6.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	12.356345	12.400627

	Training Data	Original Data
Minimum	3.2	3.14
Maximum	20.99	22.51
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Quantile statistics

	Training Data	Original Data
Minimum	3.2	3.14
5-th percentile	9.1	8.43
Q1	10.99	10.74
median	12.37	12.4
Q3	13.68	14.0025
95-th percentile	15.72	16.48
Maximum	20.99	22.51
Range	17.79	19.37
Interquartile range (IQR)	2.69	3.2625

Descriptive statistics

	Training Data	Original Data
Standard deviation	2.0089589	2.4427288
Coefficient of variation (CV)	0.1625852	0.19698431
Kurtosis	0.059797501	-0.01614091
Mean	12.356345	12.400627
Median Absolute Deviation (MAD)	1.34	1.63
Skewness	0.049945315	0.027425966
Sum	7339594.9	248012.53
Variance	4.0359159	5.9669241
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.31	2638	0.4%
12.52	2436	0.4%
13.35	2415	0.4%
12.82	2406	0.4%
12.23	2362	0.4%
11.26	2318	0.4%
11.6	2236	0.4%
13.78	2222	0.4%
12.09	2215	0.4%
12.81	2209	0.4%
Other values (1444)	570537	96.1%

Value	Count	Frequency (%)
12.31	46	0.2%
13.78	45	0.2%
11.26	45	0.2%
12.82	45	0.2%
12.52	44	0.2%
12.23	44	0.2%
12.09	44	0.2%
13.35	43	0.2%
11.6	43	0.2%
12.5	42	0.2%
Other values (1355)	19559	97.8%

Value	Count	Frequency (%)
3.2	1	< 0.1%
3.32	1	< 0.1%
3.66	1	< 0.1%
3.79	1	< 0.1%
3.81	3	< 0.1%
3.83	1	< 0.1%
3.89	2	< 0.1%
3.92	1	< 0.1%
3.98	2	< 0.1%
4.01	1	< 0.1%

Value	Count	Frequency (%)
3.14	1	< 0.1%
3.2	1	< 0.1%
3.63	1	< 0.1%
3.79	1	< 0.1%
3.81	1	< 0.1%
3.92	1	< 0.1%
3.98	1	< 0.1%
4.11	1	< 0.1%
4.18	1	< 0.1%
4.29	1	< 0.1%

Value	Count	Frequency (%)
3.14	1	< 0.1%
3.2	1	< 0.1%
3.63	1	< 0.1%
3.79	1	< 0.1%
3.81	1	< 0.1%
3.92	1	< 0.1%
3.98	1	< 0.1%
4.11	1	< 0.1%
4.18	1	< 0.1%
4.29	1	< 0.1%

Value	Count	Frequency (%)
3.2	1	< 0.1%
3.32	1	< 0.1%
3.66	1	< 0.1%
3.79	1	< 0.1%
3.81	3	< 0.1%
3.83	1	< 0.1%
3.89	2	< 0.1%
3.92	1	< 0.1%
3.98	2	< 0.1%
4.01	1	< 0.1%

gender
Categorical

	Training Data	Original Data
Distinct	3	3
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Female	306175
Male	284091
Other	3728

Female	10034
Male	9536
Other	430

Length

	Training Data	Original Data
Max length	6	6
Median length	6	6
Mean length	5.0371788	5.0249
Min length	4	4

Characters and Unicode

	Training Data	Original Data
Total characters	2992054	100498
Distinct characters	10	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	Female	Male
2nd row	Male	Female
3rd row	Male	Female
4th row	Female	Female
5th row	Male	Other

Common Values

Value	Count	Frequency (%)
Female	306175	51.5%
Male	284091	47.8%
Other	3728	0.6%

Value	Count	Frequency (%)
Female	10034	50.2%
Male	9536	47.7%
Other	430	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Original Data

Value	Count	Frequency (%)
female	306175	51.5%
male	284091	47.8%
other	3728	0.6%

Value	Count	Frequency (%)
female	10034	50.2%
male	9536	47.7%
other	430	2.1%

Most occurring characters

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	30034	29.9%
a	19570	19.5%
l	19570	19.5%
F	10034	10.0%
m	10034	10.0%
M	9536	9.5%
O	430	0.4%
t	430	0.4%
h	430	0.4%
r	430	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2992054	100.0%

Value	Count	Frequency (%)
(unknown)	100498	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	30034	29.9%
a	19570	19.5%
l	19570	19.5%
F	10034	10.0%
m	10034	10.0%
M	9536	9.5%
O	430	0.4%
t	430	0.4%
h	430	0.4%
r	430	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2992054	100.0%

Value	Count	Frequency (%)
(unknown)	100498	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	30034	29.9%
a	19570	19.5%
l	19570	19.5%
F	10034	10.0%
m	10034	10.0%
M	9536	9.5%
O	430	0.4%
t	430	0.4%
h	430	0.4%
r	430	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2992054	100.0%

Value	Count	Frequency (%)
(unknown)	100498	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	30034	29.9%
a	19570	19.5%
l	19570	19.5%
F	10034	10.0%
m	10034	10.0%
M	9536	9.5%
O	430	0.4%
t	430	0.4%
h	430	0.4%
r	430	0.4%

marital_status
Categorical

	Training Data	Original Data
Distinct	4	4
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Single	288843
Married	277239
Divorced	21312
Widowed	6600

Single	9031
Married	8974
Divorced	1428
Widowed	567

Length

	Training Data	Original Data
Max length	8	8
Median length	7	7
Mean length	6.5496066	6.61985
Min length	6	6

Characters and Unicode

	Training Data	Original Data
Total characters	3890427	132397
Distinct characters	16	16
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	Single	Married
2nd row	Married	Married
3rd row	Single	Single
4th row	Single	Single
5th row	Married	Single

Common Values

Value	Count	Frequency (%)
Single	288843	48.6%
Married	277239	46.7%
Divorced	21312	3.6%
Widowed	6600	1.1%

Value	Count	Frequency (%)
Single	9031	45.2%
Married	8974	44.9%
Divorced	1428	7.1%
Widowed	567	2.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Original Data

Value	Count	Frequency (%)
single	288843	48.6%
married	277239	46.7%
divorced	21312	3.6%
widowed	6600	1.1%

Value	Count	Frequency (%)
single	9031	45.2%
married	8974	44.9%
divorced	1428	7.1%
widowed	567	2.8%

Most occurring characters

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	20000	15.1%
e	20000	15.1%
r	19376	14.6%
d	11536	8.7%
g	9031	6.8%
l	9031	6.8%
n	9031	6.8%
S	9031	6.8%
a	8974	6.8%
M	8974	6.8%
Other values (6)	7413	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3890427	100.0%

Value	Count	Frequency (%)
(unknown)	132397	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	20000	15.1%
e	20000	15.1%
r	19376	14.6%
d	11536	8.7%
g	9031	6.8%
l	9031	6.8%
n	9031	6.8%
S	9031	6.8%
a	8974	6.8%
M	8974	6.8%
Other values (6)	7413	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3890427	100.0%

Value	Count	Frequency (%)
(unknown)	132397	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	20000	15.1%
e	20000	15.1%
r	19376	14.6%
d	11536	8.7%
g	9031	6.8%
l	9031	6.8%
n	9031	6.8%
S	9031	6.8%
a	8974	6.8%
M	8974	6.8%
Other values (6)	7413	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3890427	100.0%

Value	Count	Frequency (%)
(unknown)	132397	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	20000	15.1%
e	20000	15.1%
r	19376	14.6%
d	11536	8.7%
g	9031	6.8%
l	9031	6.8%
n	9031	6.8%
S	9031	6.8%
a	8974	6.8%
M	8974	6.8%
Other values (6)	7413	5.6%

education_level
Categorical

	Training Data	Original Data
Distinct	5	5
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Bachelor's	279606
High School	183592
Master's	93097
Other	26677
PhD	11022

Bachelor's	8045
High School	5919
Master's	3724
Other	1508
PhD	804

Length

	Training Data	Original Data
Max length	11	11
Median length	10	10
Mean length	9.6411731	9.26515
Min length	3	3

Characters and Unicode

	Training Data	Original Data
Total characters	5726799	185303
Distinct characters	20	20
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	High School	Master's
2nd row	Master's	Bachelor's
3rd row	High School	High School
4th row	High School	High School
5th row	High School	Other

Common Values

Value	Count	Frequency (%)
Bachelor's	279606	47.1%
High School	183592	30.9%
Master's	93097	15.7%
Other	26677	4.5%
PhD	11022	1.9%

Value	Count	Frequency (%)
Bachelor's	8045	40.2%
High School	5919	29.6%
Master's	3724	18.6%
Other	1508	7.5%
PhD	804	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Original Data

Value	Count	Frequency (%)
bachelor's	279606	36.0%
high	183592	23.6%
school	183592	23.6%
master's	93097	12.0%
other	26677	3.4%
phd	11022	1.4%

Value	Count	Frequency (%)
bachelor's	8045	31.0%
high	5919	22.8%
school	5919	22.8%
master's	3724	14.4%
other	1508	5.8%
phd	804	3.1%

Most occurring characters

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	22195	12.0%
o	19883	10.7%
s	15493	8.4%
c	13964	7.5%
l	13964	7.5%
e	13277	7.2%
r	13277	7.2%
a	11769	6.4%
'	11769	6.4%
B	8045	4.3%
Other values (10)	41667	22.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5726799	100.0%

Value	Count	Frequency (%)
(unknown)	185303	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	22195	12.0%
o	19883	10.7%
s	15493	8.4%
c	13964	7.5%
l	13964	7.5%
e	13277	7.2%
r	13277	7.2%
a	11769	6.4%
'	11769	6.4%
B	8045	4.3%
Other values (10)	41667	22.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5726799	100.0%

Value	Count	Frequency (%)
(unknown)	185303	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	22195	12.0%
o	19883	10.7%
s	15493	8.4%
c	13964	7.5%
l	13964	7.5%
e	13277	7.2%
r	13277	7.2%
a	11769	6.4%
'	11769	6.4%
B	8045	4.3%
Other values (10)	41667	22.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5726799	100.0%

Value	Count	Frequency (%)
(unknown)	185303	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	22195	12.0%
o	19883	10.7%
s	15493	8.4%
c	13964	7.5%
l	13964	7.5%
e	13277	7.2%
r	13277	7.2%
a	11769	6.4%
'	11769	6.4%
B	8045	4.3%
Other values (10)	41667	22.5%

employment_status
Categorical

	Training Data	Original Data
Distinct	5	5
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Employed	450645
Unemployed	62485
Self-employed	52480
Retired	16453
Student	11931

Employed	13007
Self-employed	2923
Unemployed	2113
Retired	1176
Student	781

Length

	Training Data	Original Data
Max length	13	13
Median length	8	8
Mean length	8.6043596	8.8442
Min length	7	7

Characters and Unicode

	Training Data	Original Data
Total characters	5110938	176884
Distinct characters	18	18
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	Self-employed	Employed
2nd row	Employed	Employed
3rd row	Employed	Employed
4th row	Employed	Employed
5th row	Employed	Employed

Common Values

Value	Count	Frequency (%)
Employed	450645	75.9%
Unemployed	62485	10.5%
Self-employed	52480	8.8%
Retired	16453	2.8%
Student	11931	2.0%

Value	Count	Frequency (%)
Employed	13007	65.0%
Self-employed	2923	14.6%
Unemployed	2113	10.6%
Retired	1176	5.9%
Student	781	3.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Original Data

Value	Count	Frequency (%)
employed	450645	75.9%
unemployed	62485	10.5%
self-employed	52480	8.8%
retired	16453	2.8%
student	11931	2.0%

Value	Count	Frequency (%)
employed	13007	65.0%
self-employed	2923	14.6%
unemployed	2113	10.6%
retired	1176	5.9%
student	781	3.9%

Most occurring characters

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	29135	16.5%
l	20966	11.9%
d	20000	11.3%
m	18043	10.2%
y	18043	10.2%
p	18043	10.2%
o	18043	10.2%
E	13007	7.4%
S	3704	2.1%
f	2923	1.7%
Other values (8)	14977	8.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5110938	100.0%

Value	Count	Frequency (%)
(unknown)	176884	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	29135	16.5%
l	20966	11.9%
d	20000	11.3%
m	18043	10.2%
y	18043	10.2%
p	18043	10.2%
o	18043	10.2%
E	13007	7.4%
S	3704	2.1%
f	2923	1.7%
Other values (8)	14977	8.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5110938	100.0%

Value	Count	Frequency (%)
(unknown)	176884	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	29135	16.5%
l	20966	11.9%
d	20000	11.3%
m	18043	10.2%
y	18043	10.2%
p	18043	10.2%
o	18043	10.2%
E	13007	7.4%
S	3704	2.1%
f	2923	1.7%
Other values (8)	14977	8.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5110938	100.0%

Value	Count	Frequency (%)
(unknown)	176884	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	29135	16.5%
l	20966	11.9%
d	20000	11.3%
m	18043	10.2%
y	18043	10.2%
p	18043	10.2%
o	18043	10.2%
E	13007	7.4%
S	3704	2.1%
f	2923	1.7%
Other values (8)	14977	8.5%

loan_purpose
Categorical

	Training Data	Original Data
Distinct	8	8
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

Debt consolidation	324695
Other	63874
Car	58108
Home	44118
Education	36641
Other values (3)	66558

Debt consolidation	7981
Other	2550
Car	2390
Home	1972
Education	1675
Other values (3)	3432

Length

	Training Data	Original Data
Max length	18	18
Median length	18	9
Mean length	12.38077	10.64005
Min length	3	3

Characters and Unicode

	Training Data	Original Data
Total characters	7354103	212801
Distinct characters	24	24
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	Other	Car
2nd row	Debt consolidation	Debt consolidation
3rd row	Debt consolidation	Business
4th row	Debt consolidation	Other
5th row	Other	Car

Common Values

Value	Count	Frequency (%)
Debt consolidation	324695	54.7%
Other	63874	10.8%
Car	58108	9.8%
Home	44118	7.4%
Education	36641	6.2%
Business	35303	5.9%
Medical	22806	3.8%
Vacation	8449	1.4%

Value	Count	Frequency (%)
Debt consolidation	7981	39.9%
Other	2550	12.8%
Car	2390	11.9%
Home	1972	9.9%
Education	1675	8.4%
Business	1629	8.1%
Medical	1196	6.0%
Vacation	607	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Original Data

Value	Count	Frequency (%)
debt	324695	35.3%
consolidation	324695	35.3%
other	63874	7.0%
car	58108	6.3%
home	44118	4.8%
education	36641	4.0%
business	35303	3.8%
medical	22806	2.5%
vacation	8449	0.9%

Value	Count	Frequency (%)
debt	7981	28.5%
consolidation	7981	28.5%
other	2550	9.1%
car	2390	8.5%
home	1972	7.0%
education	1675	6.0%
business	1629	5.8%
medical	1196	4.3%
vacation	607	2.2%

Most occurring characters

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	28197	13.3%
i	21069	9.9%
t	20794	9.8%
n	19873	9.3%
e	15328	7.2%
a	14456	6.8%
s	12868	6.0%
c	11459	5.4%
d	10852	5.1%
l	9177	4.3%
Other values (14)	48728	22.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7354103	100.0%

Value	Count	Frequency (%)
(unknown)	212801	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	28197	13.3%
i	21069	9.9%
t	20794	9.8%
n	19873	9.3%
e	15328	7.2%
a	14456	6.8%
s	12868	6.0%
c	11459	5.4%
d	10852	5.1%
l	9177	4.3%
Other values (14)	48728	22.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7354103	100.0%

Value	Count	Frequency (%)
(unknown)	212801	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	28197	13.3%
i	21069	9.9%
t	20794	9.8%
n	19873	9.3%
e	15328	7.2%
a	14456	6.8%
s	12868	6.0%
c	11459	5.4%
d	10852	5.1%
l	9177	4.3%
Other values (14)	48728	22.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7354103	100.0%

Value	Count	Frequency (%)
(unknown)	212801	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	28197	13.3%
i	21069	9.9%
t	20794	9.8%
n	19873	9.3%
e	15328	7.2%
a	14456	6.8%
s	12868	6.0%
c	11459	5.4%
d	10852	5.1%
l	9177	4.3%
Other values (14)	48728	22.9%

grade_subgrade
Categorical

	Training Data	Original Data
Distinct	30	30
Distinct (%)	< 0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

C3	58695
C4	55957
C2	54443
C1	53363
C5	53317
Other values (25)	318219

C3	1514
C4	1463
C2	1436
C5	1422
C1	1410
Other values (25)	12755

Length

	Training Data	Original Data
Max length	2	2
Median length	2	2
Mean length	2	2
Min length	2	2

Characters and Unicode

	Training Data	Original Data
Total characters	1187988	40000
Distinct characters	11	11
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	C3	B5
2nd row	D3	F1
3rd row	C5	B4
4th row	F1	A5
5th row	D1	D5

Common Values

Value	Count	Frequency (%)
C3	58695	9.9%
C4	55957	9.4%
C2	54443	9.2%
C1	53363	9.0%
C5	53317	9.0%
D1	37029	6.2%
D3	36694	6.2%
D4	35097	5.9%
D2	34432	5.8%
D5	32101	5.4%
Other values (20)	142866	24.1%

Value	Count	Frequency (%)
C3	1514	7.6%
C4	1463	7.3%
C2	1436	7.2%
C5	1422	7.1%
C1	1410	7.0%
D1	1155	5.8%
D3	1146	5.7%
D4	1100	5.5%
D2	1091	5.5%
D5	1073	5.4%
Other values (20)	7190	35.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Original Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
c3	58695	9.9%
c4	55957	9.4%
c2	54443	9.2%
c1	53363	9.0%
c5	53317	9.0%
d1	37029	6.2%
d3	36694	6.2%
d4	35097	5.9%
d2	34432	5.8%
d5	32101	5.4%
Other values (20)	142866	24.1%

Value	Count	Frequency (%)
c3	1514	7.6%
c4	1463	7.3%
c2	1436	7.2%
c5	1422	7.1%
c1	1410	7.0%
d1	1155	5.8%
d3	1146	5.7%
d4	1100	5.5%
d2	1091	5.5%
d5	1073	5.4%
Other values (20)	7190	35.9%

Most occurring characters

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	7245	18.1%
D	5565	13.9%
3	4078	10.2%
4	4016	10.0%
2	3983	10.0%
1	3981	10.0%
5	3942	9.9%
B	3075	7.7%
E	1695	4.2%
F	1551	3.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1187988	100.0%

Value	Count	Frequency (%)
(unknown)	40000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	7245	18.1%
D	5565	13.9%
3	4078	10.2%
4	4016	10.0%
2	3983	10.0%
1	3981	10.0%
5	3942	9.9%
B	3075	7.7%
E	1695	4.2%
F	1551	3.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1187988	100.0%

Value	Count	Frequency (%)
(unknown)	40000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	7245	18.1%
D	5565	13.9%
3	4078	10.2%
4	4016	10.0%
2	3983	10.0%
1	3981	10.0%
5	3942	9.9%
B	3075	7.7%
E	1695	4.2%
F	1551	3.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1187988	100.0%

Value	Count	Frequency (%)
(unknown)	40000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	7245	18.1%
D	5565	13.9%
3	4078	10.2%
4	4016	10.0%
2	3983	10.0%
1	3981	10.0%
5	3942	9.9%
B	3075	7.7%
E	1695	4.2%
F	1551	3.9%

loan_paid_back
Categorical

	Training Data	Original Data
Distinct	2	2
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	156.4 KiB

1.0	474494
0.0	119500

1	15998
0	4002

Length

	Training Data	Original Data
Max length	3	1
Median length	3	1
Mean length	3	1
Min length	3	1

Characters and Unicode

	Training Data	Original Data
Total characters	1781982	20000
Distinct characters	3	2
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Original Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Original Data
1st row	1.0	1
2nd row	0.0	1
3rd row	1.0	1
4th row	1.0	1
5th row	1.0	1

Common Values

Value	Count	Frequency (%)
1.0	474494	79.9%
0.0	119500	20.1%

Value	Count	Frequency (%)
1	15998	80.0%
0	4002	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Original Data

Value	Count	Frequency (%)
1.0	474494	79.9%
0.0	119500	20.1%

Value	Count	Frequency (%)
1	15998	80.0%
0	4002	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Value	Count	Frequency (%)
1	15998	80.0%
0	4002	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1781982	100.0%

Value	Count	Frequency (%)
(unknown)	20000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Value	Count	Frequency (%)
1	15998	80.0%
0	4002	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1781982	100.0%

Value	Count	Frequency (%)
(unknown)	20000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Value	Count	Frequency (%)
1	15998	80.0%
0	4002	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1781982	100.0%

Value	Count	Frequency (%)
(unknown)	20000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Value	Count	Frequency (%)
1	15998	80.0%
0	4002	20.0%

Interactions

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Training Data

Original Data

Correlations

Training Data

Original Data

Training Data

	annual_income	credit_score	debt_to_income_ratio	education_level	employment_status	gender	grade_subgrade	interest_rate	loan_amount	loan_paid_back	loan_purpose	marital_status
annual_income	1.000	0.004	0.005	0.008	0.009	0.004	0.007	-0.003	-0.009	0.020	0.007	0.010
credit_score	0.004	1.000	-0.060	0.007	0.051	0.008	0.638	-0.517	-0.008	0.232	0.008	0.011
debt_to_income_ratio	0.005	-0.060	1.000	0.006	0.088	0.004	0.024	0.026	-0.012	0.334	0.006	0.004
education_level	0.008	0.007	0.006	1.000	0.012	0.004	0.013	0.008	0.005	0.025	0.011	0.008
employment_status	0.009	0.051	0.088	0.012	1.000	0.003	0.052	0.025	0.010	0.657	0.015	0.006
gender	0.004	0.008	0.004	0.004	0.003	1.000	0.009	0.004	0.010	0.007	0.007	0.002
grade_subgrade	0.007	0.638	0.024	0.013	0.052	0.009	1.000	0.192	0.013	0.228	0.008	0.013
interest_rate	-0.003	-0.517	0.026	0.008	0.025	0.004	0.192	1.000	-0.001	0.129	0.006	0.006
loan_amount	-0.009	-0.008	-0.012	0.005	0.010	0.010	0.013	-0.001	1.000	0.013	0.008	0.008
loan_paid_back	0.020	0.232	0.334	0.025	0.657	0.007	0.228	0.129	0.013	1.000	0.025	0.001
loan_purpose	0.007	0.008	0.006	0.011	0.015	0.007	0.008	0.006	0.008	0.025	1.000	0.010
marital_status	0.010	0.011	0.004	0.008	0.006	0.002	0.013	0.006	0.008	0.001	0.010	1.000

Original Data

	annual_income	credit_score	debt_to_income_ratio	education_level	employment_status	gender	grade_subgrade	interest_rate	loan_amount	loan_paid_back	loan_purpose	marital_status
annual_income	1.000	0.005	-0.003	0.000	0.004	0.000	0.004	-0.006	0.002	0.029	0.000	0.006
credit_score	0.005	1.000	-0.025	0.000	0.000	0.000	0.634	-0.551	0.008	0.198	0.000	0.004
debt_to_income_ratio	-0.003	-0.025	1.000	0.004	0.012	0.023	0.011	0.007	-0.008	0.220	0.005	0.000
education_level	0.000	0.000	0.004	1.000	0.005	0.000	0.000	0.000	0.000	0.018	0.010	0.004
employment_status	0.004	0.000	0.012	0.005	1.000	0.000	0.006	0.000	0.008	0.584	0.000	0.000
gender	0.000	0.000	0.023	0.000	0.000	1.000	0.000	0.010	0.016	0.000	0.000	0.000
grade_subgrade	0.004	0.634	0.011	0.000	0.006	0.000	1.000	0.206	0.000	0.192	0.004	0.000
interest_rate	-0.006	-0.551	0.007	0.000	0.000	0.010	0.206	1.000	-0.009	0.109	0.008	0.000
loan_amount	0.002	0.008	-0.008	0.000	0.008	0.016	0.000	-0.009	1.000	0.000	0.000	0.008
loan_paid_back	0.029	0.198	0.220	0.018	0.584	0.000	0.192	0.109	0.000	1.000	0.021	0.000
loan_purpose	0.000	0.000	0.005	0.010	0.000	0.000	0.004	0.008	0.000	0.021	1.000	0.011
marital_status	0.006	0.004	0.000	0.004	0.000	0.000	0.000	0.000	0.008	0.000	0.011	1.000

Missing values

Training Data

A simple visualization of nullity by column.

Original Data

A simple visualization of nullity by column.

Training Data

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Original Data

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Training Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back
0	29,367.990	0.084	736	2,528.420	13.670	Female	Single	High School	Self-employed	Other	C3	1.000
1	22,108.020	0.166	636	4,593.100	12.920	Male	Married	Master's	Employed	Debt consolidation	D3	0.000
2	49,566.200	0.097	694	17,005.150	9.760	Male	Single	High School	Employed	Debt consolidation	C5	1.000
3	46,858.250	0.065	533	4,682.480	16.100	Female	Single	High School	Employed	Debt consolidation	F1	1.000
4	25,496.700	0.053	665	12,184.430	10.210	Male	Married	High School	Employed	Other	D1	1.000
5	44,940.300	0.058	653	12,159.920	12.240	Male	Single	Bachelor's	Employed	Other	D1	1.000
6	61,574.160	0.042	696	16,907.710	13.520	Other	Single	High School	Self-employed	Debt consolidation	C5	1.000
7	45,953.310	0.100	654	10,111.620	12.820	Female	Married	High School	Employed	Home	D1	1.000
8	30,592.290	0.132	713	7,522.360	9.480	Male	Married	Bachelor's	Employed	Education	C5	1.000
9	17,342.450	0.121	548	9,653.480	16.040	Female	Married	Bachelor's	Self-employed	Vacation	F1	1.000

Original Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back
0	24,240.190	0.074	743	17,173.720	13.390	Male	Married	Master's	Employed	Car	B5	1
1	20,172.980	0.219	531	22,663.890	17.810	Female	Married	Bachelor's	Employed	Debt consolidation	F1	1
2	26,181.800	0.234	779	3,631.360	9.530	Female	Single	High School	Employed	Business	B4	1
3	11,873.840	0.264	809	14,939.230	7.990	Female	Single	High School	Employed	Other	A5	1
4	25,326.440	0.260	663	16,551.710	15.200	Other	Single	Other	Employed	Car	D5	1
5	55,559.800	0.081	774	12,724.020	12.730	Male	Single	High School	Employed	Debt consolidation	B1	1
6	24,642.880	0.165	742	5,905.270	12.480	Male	Single	Bachelor's	Unemployed	Car	B3	0
7	52,610.690	0.135	810	15,136.350	8.450	Female	Single	Bachelor's	Employed	Debt consolidation	A3	1
8	62,922.050	0.074	724	500.000	9.950	Other	Single	High School	Employed	Home	C4	1
9	53,439.890	0.375	796	14,712.380	11.810	Female	Single	High School	Employed	Car	B1	0

Training Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back
593984	36,169.340	0.091	676	9,986.830	14.180	Female	Married	Bachelor's	Retired	Debt consolidation	C3	1.000
593985	37,188.430	0.170	718	17,056.520	10.470	Female	Married	Bachelor's	Employed	Home	C3	1.000
593986	25,015.350	0.074	633	15,922.610	13.910	Male	Married	Bachelor's	Employed	Debt consolidation	D2	0.000
593987	17,662.680	0.074	679	19,792.920	15.480	Female	Single	Other	Employed	Debt consolidation	C3	1.000
593988	15,602.220	0.056	622	25,706.470	15.750	Female	Married	High School	Employed	Debt consolidation	D2	1.000
593989	23,004.260	0.152	703	20,958.370	10.920	Female	Single	High School	Employed	Business	C3	1.000
593990	35,289.430	0.105	559	3,257.240	14.620	Male	Single	Bachelor's	Employed	Debt consolidation	F5	1.000
593991	47,112.640	0.072	675	929.270	14.130	Female	Married	Bachelor's	Employed	Debt consolidation	C1	1.000
593992	76,748.440	0.067	740	16,290.400	9.870	Male	Single	Bachelor's	Employed	Debt consolidation	B2	1.000
593993	48,959.520	0.096	752	7,707.730	10.310	Male	Married	High School	Employed	Education	B3	1.000

Original Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back
19990	33,789.750	0.049	641	14,301.950	11.310	Female	Divorced	High School	Employed	Home	D5	1
19991	20,111.610	0.067	740	8,861.860	8.300	Male	Married	High School	Employed	Home	B4	1
19992	37,651.770	0.278	664	11,494.360	12.000	Male	Single	High School	Employed	Other	D3	1
19993	24,082.300	0.178	674	6,877.770	13.820	Male	Married	PhD	Retired	Debt consolidation	C3	1
19994	44,960.330	0.176	792	13,300.710	11.990	Female	Married	Bachelor's	Self-employed	Medical	B4	1
19995	39,640.080	0.275	691	16,322.230	15.050	Female	Married	Bachelor's	Employed	Debt consolidation	C5	0
19996	32,062.900	0.367	758	16,697.340	11.890	Female	Married	Bachelor's	Employed	Debt consolidation	B5	1
19997	18,642.020	0.106	751	23,924.780	10.060	Female	Single	Master's	Student	Debt consolidation	B4	1
19998	22,181.390	0.275	646	16,920.130	16.060	Male	Married	Master's	Retired	Other	D2	1
19999	23,737.700	0.228	630	15,769.750	13.070	Female	Married	Other	Employed	Business	D2	0

Duplicate rows

Training Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back	# duplicates
Dataset does not contain duplicate rows.

Original Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back	# duplicates
Dataset does not contain duplicate rows.

Overview

Variables

Common Values

Length

Common Values (Plot)

Training Data

Original Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Original Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Original Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Original Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Original Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)